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Record W2677489109 · doi:10.21825/jeps.v2i1.3618

‘Intellectual Acid’: Cultural Resistance, Cultural Citizenship, and Emotional (Counter)Community in the <i>Freewoman</i>

2017· article· en· W2677489109 on OpenAlexaff
M. Sage Milo

Bibliographic record

VenueJournal of European Periodical Studies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsYork University
Fundersnot available
KeywordsSociologyEveryday lifeCountercultureThe artsPoliticsAestheticsResistance (ecology)HegemonyGender studiesMedia studiesVisual artsPolitical scienceArtLaw

Abstract

fetched live from OpenAlex

This article explores the Freewoman’s relation to culture, as well as its role as a countercultural periodical — one that resisted hegemonic ideas and styles — and in the creation of an emotional (counter)community. It follows Raymond Williams’s understanding of culture as having two senses: one is ‘a whole way of life’ — everyday practices — the other arts and other creative endeavours. The Freewoman was cultivating a view of feminism as a way of life that encompassed both these meanings, as its editor, Dora Marsden, encouraged the expression of both traditional and novel perspectives, working to connect everyday life to a vision of a feminist, perhaps utopian, future. My focus here is on three main ideas of culture and community under Williams’s general framework of ‘culture’: cultural resistance and counterculture, cultural citizenship, and emotional countercommunity. These aspects of the Freewoman were central to its feminist politics, and I offer that attention to emotions and emotional communities can enrich our understanding of periodicals and their political workings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0080.003
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.145
GPT teacher head0.314
Teacher spread0.169 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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